PYTHON PROGRAM • MODULES, DATES & REGULAR EXPRESSIONS
Validate an Email Pattern in Python
Learn validate an email pattern in python with a short, executable Python example.
PROBLEM UNDERSTANDING
Input and expected output
Sample input
No input required
Sample output
True
COMPLETE PYTHON PROGRAM
Complete Python implementation
import re
email = 'student@example.com'
pattern = r'^[\w.-]+@[\w.-]+\.[A-Za-z]{2,}$'
print(bool(re.fullmatch(pattern, email)))CURRENT STEP
SELECTED LINE
EXPECTED OUTPUT FOR THE SAMPLE
True
Step 0 of 0
PROGRAM EXPLANATION
Algorithm and explanation
- Import the required standard-library tools and prepare the sample data for validate an email pattern.
- Apply fullmatch() and Regex to compute the required result.
- Display the result for validate an email pattern and compare it with the documented sample output.
This example of validate an email pattern computes the result directly from the prepared sample data. It demonstrates fullmatch() and Regex and prints a deterministic result that can be checked against the sample output.
EFFICIENCY
Time and space complexity
Time complexity
O(n)
Auxiliary space
O(n)
DEBUGGING CHECKLIST
Common mistakes
Check this
For validate an email pattern, keep the data shape and value types consistent with fullmatch().
Check this
Apply fullmatch() in the same order shown by the algorithm; changing the order can change the result.
Check this
Verify the final fullmatch() and Regex result against the sample before trying new data.
Try it yourself
Practice: Run the program with the sample input, predict its output, and then test one boundary case of your own.
